Triple
T17095187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snyder family |
E414828
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Lily Snyder
Lily Snyder is a fictional character from the long-running American soap opera "As the World Turns," known for her central role in the Snyder family storylines.
|
E1250081
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lily Snyder | Statement: [Snyder family, hasMember, Lily Snyder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lily Snyder Context triple: [Snyder family, hasMember, Lily Snyder]
-
A.
Laura Ricketts
Laura Ricketts is an American attorney, co-owner of the Chicago Cubs, and prominent LGBTQ+ activist and political donor.
-
B.
Ruth Hall
Ruth Hall was an American film actress of the early 1930s, known for her roles in Hollywood comedies and Westerns.
-
C.
Lottie Landis
Lottie Landis was an American silent-era film actress and the sister of actor Cullen Landis.
-
D.
Vivian Bagley
Vivian Bagley is a central comedic character on the classic American sitcom "The Lucy Show," known as Lucy Carmichael’s best friend and roommate.
-
E.
Mary Elizabeth Schaefer
Mary Elizabeth Schaefer was the wife of William R. Day, an American diplomat and U.S. Supreme Court Justice.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lily Snyder Triple: [Snyder family, hasMember, Lily Snyder]
Generated description
Lily Snyder is a fictional character from the long-running American soap opera "As the World Turns," known for her central role in the Snyder family storylines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lily Snyder Target entity description: Lily Snyder is a fictional character from the long-running American soap opera "As the World Turns," known for her central role in the Snyder family storylines.
-
A.
Laura Ricketts
Laura Ricketts is an American attorney, co-owner of the Chicago Cubs, and prominent LGBTQ+ activist and political donor.
-
B.
Ruth Hall
Ruth Hall was an American film actress of the early 1930s, known for her roles in Hollywood comedies and Westerns.
-
C.
Lottie Landis
Lottie Landis was an American silent-era film actress and the sister of actor Cullen Landis.
-
D.
Vivian Bagley
Vivian Bagley is a central comedic character on the classic American sitcom "The Lucy Show," known as Lucy Carmichael’s best friend and roommate.
-
E.
Mary Elizabeth Schaefer
Mary Elizabeth Schaefer was the wife of William R. Day, an American diplomat and U.S. Supreme Court Justice.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbfc9158819081689d3d594a1908 |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012eedfd7c8190b267dedd403f5f2b |
completed | May 11, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a01302666a48190b7d7c33306e63911 |
completed | May 11, 2026, 1:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01308426a48190882dd057126bc43a |
completed | May 11, 2026, 1:27 a.m. |
Created at: April 10, 2026, 5:35 a.m.